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🔍 NeuroScout-OSS: Autonomous Expert-Level Issue Miner

Python Version License Status AI

NeuroScout-OSS is a high-precision autonomous agent engineered to solve the "Discovery Problem" in the Open Source ecosystem. While traditional tools notify users of any new activity, NeuroScout-OSS acts as a Technical Gatekeeper, ensuring that only high-complexity, architecturally significant tasks reach the developer.

By converting massive repository backlogs into a curated stream of high-impact engineering tasks, it eliminates the manual "hunt" for meaningful contributions. The system functions as a 24/7 technical scout, ensuring that when an expert-level challenge arises, you are the first to know and the best prepared to act.


🚀 Features

🧠 The Intelligence Layer

At the core of the project is the Gemini 2.5 Flash Reasoning Engine. Unlike simple regex-based filters, this agent performs a semantic analysis of the issue's body, code snippets, and labels. It specifically hunts for:

  • Algorithmic Bottlenecks: Optimization of RAG pipelines, gradient flow, or model quantization.
  • Architectural Shifts: Multi-agent coordination, tool-calling protocols, and state management.
  • Breaking Changes: High-priority bugs in core frameworks (PyTorch, LangChain, CrewAI) requiring deep domain expertise.

🛡️ Engineered for Reliability

A robust production-grade architecture ensures stable 24/7 operation:

  • Stateful Memory: Implements a local SQLite persistence layer to prevent notification fatigue and ensure idempotent processing across restarts.
  • Data Integrity: Every data packet is validated through strict Pydantic models to ensure system-wide type safety.
  • Asynchronous Orchestration: Operates in a continuous loop, balancing API rate limits with the need for real-time responsiveness.

📊 Real-Time Delivery

The notification module transforms raw data into actionable intelligence:

  • Technical Briefs: Pushes structured HTML-formatted messages directly to Telegram.
  • Implementation Strategy: Includes AI-generated high-level implementation plans for every flagged issue.
  • Click-to-Action: Direct links to repositories for "first-responder" advantages.

📂 Project Structure

AutoIssueScrapper/
├── scout.py          # 🚀 THE CONDUCTOR: Starts the 1-hour autonomous loop.
├── ai_engine.py      # 🧠 THE BRAIN: Formats prompts and analyzes issues with Gemini.
├── github_client.py  # 📡 THE EYES: Authenticates and crawls the GitHub API.
├── storage.py        # 🗄️ THE VAULT: SQLite logic for data persistence.
├── notifier.py       # 🔔 THE BRIDGE: Sends formatted HTML to Telegram.
├── models.py         # 🏗️ THE BLUEPRINT: Pydantic schemas for data integrity.
│
├── .env              # 🔒 THE SECRETS: API keys and secrets (excluded from git).
├── .env.example      # 📝 TEMPLATE: Guide for setting up environment variables.
├── requirements.txt  # 📦 THE TOOLBOX: Essential Python libraries.
└── run.bat           # ⚡ SHORTCUT: One-click Windows setup and execution.

About

An autonomous AI agent powered by Gemini 2.5 Flash that scouts GitHub for expert-level ML/AI issues and delivers real-time technical briefs via Telegram. By converting massive repository backlogs into a curated stream of high-impact engineering tasks, it eliminates the manual "hunt" for meaningful contributions. The system functions as a 24/7 tech

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